- Ocean observations
Ocean climate variables
Air Pressure, sea level pressure (SLP)
Surface radiative fluxes
Surface thermodynamic fluxes
Wind speed and direction
Surface wind stress
Ocean observation sources
There is a composite network of satellites that generate observations (http://ioc3.unesco.org/oopc/obs/surface_sat.php). These include:
Type Variables Observed Responsible Organizations Infrared (IR) SST, sea ice CEOS, IGOS, CGMS AMSR-class microwave SST, wind speed, sea ice CEOS, IGOS, CGMS Surface vector wind (two wide-swath scatterometers desired) surface vector wind, sea ice CEOS, IGOS, CGMS Ocean color chlorophyll concentration (biomass of phytoplankton) IOCCG high-precision altimetry sea-level anomaly from steady state CEOS, IGOS, CGMS low-precision altimetry sea level CEOS, IGOS, CGMS Synthetic aperture radar sea ice, sea state CEOS, IGOS, CGMS
There is a composite network of in situ observations (http://ioc3.unesco.org/oopc/obs/surface_insitu.php). These include:
Type Variables Observed Responsible Organizations Global surface drifting buoy array with 5 degree resolution (1250 total) SST, SLP, Current (based on position change) JCOMM Data Buoy Cooperation Panel (DBCP) Global tropical moored buoy network (about 120 moorings) typically SST and surface vector wind, but can also include SLP, current, air-sea flux variables JCOMM DBCP Tropical Moored Buoy Implementation Panel (TIP) Volunteer Observing Ship (VOS) fleet all feasible surface ECVs JCOMM Ship Observations Team (SOT) VOSClim all feasible surface ECVs plus extensive ship metadata JCOMM Ship Observations Team (SOT) Global referencing mooring network (29 moorings) all feasible surface ECVs OceanSITES GLOSS core sea-level network, plus regional/national networks sea level JCOMM GLOSS Carbon VOS pCO2, SST, SSS IOCCP Sea ice buoys sea ice JCOMM DBCP IABP and IPAB
There is a composite network of subsurface observations (http://ioc3.unesco.org/oopc/obs/subsurface.php). These include:
Type Variables Observed Responsible Organizations Repeat XBT (Expendable bathythermograph) line network (41 lines) Temperature JCOMM Ship Observations Team (SOT) Global tropical moored buoy network (~120 moorings) Temperature, Salinity, current, other feasible autonomously observable ECVs JCOMM DBCP Tropical Moored Buoy Implementation Panel (TIP) Reference mooring network (29 moorings) all autonomously observable ECVs OceanSITES Sustained and repeated ship-based hydrography network All feasible ECVs, including those that depend on obtaining water samples IOCCP, CLIVAR, other national efforts Argo (oceanography) network temperature, salinity, current Argo Critical current and transport monitoring temperature, heat, freshwater, carbon transports, mass CLIVAR, IOCCP , OceanSITES Regional and global synthesis programmes inferred currents, transports gridded fields of all ECVs GODAE, CLIVAR, other national efforts
Accuracy of measurements
The quality of in situ measurements is non-uniform across space, time and platforms. Different platforms employ a large variety of sensors, which operate in a wide range of often hostile environments and use different measurement protocols. Occasionally, buoys are left unattended for extended periods of time, while ships may involve a certain amount of the human-related impacts in data collection and transmission . Therefore, quality control is necessary before in situ data can be further used in scientific research or other applications. This is an example of quality control and monitoring of sea surface temperatures measured by ships and buoys, the iQuam system developed at NOAA/NESDIS/STAR: http://www.star.nesdis.noaa.gov/sod/sst/iquam, where statistics show the quality of in situ measurements of sea surface temperatures.
Historical data available
A variety of historical data sets is available here: http://www.whoi.edu/page.do?pid=7140
This site includes links to the ARGO Float Data, The Data Library and Archives (DLA), the Falmouth Monthly Climate Reports, Martha's Vineyard Coastal Observatory, the Multibeam Archive, the Seafloor Data and Observation Visualization Environment (SeaDOVE): A Web-served GIS Database of Multi-scalar Seafloor Data, Seafloor Sediments Data Collection, the Upper Ocean Mooring Data Archive, the U.S. GLOBEC Data System, U.S. JGOFS Data System, and the WHOI Ship Data-Grabber System.
There are a variety of data sets in a data library listed at Columbia University:
This library includes:
- LEVITUS94 is the World Ocean Atlas as of 1994, an atlas of objectively analyzed fields of major ocean parameters at the annual, seasonal, and monthly time scales. It is superseded by WOA98.
- NOAA NODC WOA98 is the World Ocean Atlas as of 1998, an atlas of objectively analyzed fields of major ocean parameters at monthly, seasonal, and annual time scales. Superseded by WOA01.
- NOAA NODC WOA01 is the World Ocean Atlas 2001, an atlas of objectively analyzed fields of major ocean parameters at monthly, seasonal, and annual time scales. Replaced by WOA05.
- NOAA NODC WOA05 is the World Ocean Atlas 2005, an atlas of objectively analyzed fields of major ocean parameters at monthly, seasonal, and annual time scales.
In situ observations spanning from the early 1700s to present are available from the International Comprehensive Ocean Atmosphere Data Set (ICOADS). Further information can be found here: http://icoads.noaa.gov
This data set includes observations of a number of the surface ocean and atmospheric variables from ships, moored and drifting buoys and C-MAN stations.
Areas requiring research and development
- Satellite observations with higher resolution and accuracy and more spectral bands from geostationary satellites
- improved capability for ocean color observations in coastal and turbid waters
- improved interpretation of sea-ice data from satellites
- satellite measurement of salinity
- Observing system evaluation and design, including improvements in air-sea flux parameterizations.
- Improvements in ocean platforms, including increased capabilities for Argo floats
- improved glider technology and mooring technology.
- New development in ocean sensors and systems, including improved bio-fouling protection, autonomous water sampling systems, optical and acoustic systems, airborne variable sensors, and two-way, low-cost, low-power telecommunications.
- New and improved capability to measure biogeochemical variables, nutrients, and dissolved oxygen and carbon dioxide, as well as to identify organisms.
- Improved instruments, including near-surface current meters, in-water radiometers, sensors for air-sea interface variables and turbulent fluxes, and VOS sensor systems.
The future of oceanic observation systems:
- Guided unmanned underwater vehicles
- ^ http://ioc3.unesco.org/oopc/obs/ecv.php
- ^ http://ams.allenpress.com/perlserv/?request=get-abstract&doi=10.1175%2F1520-0426(1999)016%3C0905%3AASDOTR%3E2.0.CO%3B2
- ^ http://iridl.ldeo.columbia.edu/SOURCES/
- ^ http://ioc3.unesco.org/oopc/obs/challenges.php
- ^ http://rucool.marine.rutgers.edu/atlantic/
- ^ http://www.ioc-goos.org
- ^ http://www.wmo.int
- ^ http://www.ocean.us/
- ^ http://www.argo.net/
- ^ http://www.argo.ucsd.edu/
- ^ http://www.godae.org/Observing-the-ocean.html
- ^ http://ioc3.unesco.org/oopc/
- ^ http://www.oceanleadership.org/ocean_observing
Meteorological data and variables General Condensation Convection Temperature Pressure Earth-based meteorological observation systems and weather stations By regionWorldwideUnited StatesCitizens Weather Observer Program (CWOP) · Coastal-Marine Automated Network (C-MAN) · NEXRAD radar · Remote Automated Weather Station (RAWS) · Tropospheric Airborne Meteorological Data Reporting (TAMDAR) Meteorological remote sensing systems in Earth orbit Concepts Current projectsA-train satellitesOther satellites Former projectsCompletedFailed
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